Pub Date : 2024-08-12DOI: 10.1080/00031305.2024.2388526
Shishir Agrawal, Luis David Garcia Puente, Minho Kim, Flavia Sancier-Barbosa
Asymptotic goodness-of-fit methods in contingency table analysis can struggle with sparse data, especially in multi-way tables where it can be infeasible to meet sample size requirements for a robu...
{"title":"Using Exact Tests from Algebraic Statistics in Sparse Multi-way Analyses: An Application to Analyzing Differential Item Functioning","authors":"Shishir Agrawal, Luis David Garcia Puente, Minho Kim, Flavia Sancier-Barbosa","doi":"10.1080/00031305.2024.2388526","DOIUrl":"https://doi.org/10.1080/00031305.2024.2388526","url":null,"abstract":"Asymptotic goodness-of-fit methods in contingency table analysis can struggle with sparse data, especially in multi-way tables where it can be infeasible to meet sample size requirements for a robu...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"16 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142085006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-03DOI: 10.1080/00031305.2024.2374966
Jakob Raymaekers, Peter J. Rousseeuw
Distance covariance (Székely et al. 2007) is a fascinating recent notion, which is popular as a test for dependence of any type between random variables X and Y. This approach deserves to be touche...
距离协方差（Székely 等人，2007 年）是最近出现的一个引人入胜的概念，作为随机变量 X 和 Y 之间任何类型依赖关系的检验方法而广为流行。
{"title":"Distance Covariance, Independence, and Pairwise Differences","authors":"Jakob Raymaekers, Peter J. Rousseeuw","doi":"10.1080/00031305.2024.2374966","DOIUrl":"https://doi.org/10.1080/00031305.2024.2374966","url":null,"abstract":"Distance covariance (Székely et al. 2007) is a fascinating recent notion, which is popular as a test for dependence of any type between random variables X and Y. This approach deserves to be touche...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"26 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141557127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1080/00031305.2024.2374275
Anna Haensch, Daanika Gordon, Karin Knudson, Justina Cheng
Despite the fact that most police departments in the U.S. serve jurisdictions with fewer than 10,000 residents, policing practices in small towns are understudied. This is due in part to data limit...
{"title":"A Multi-Method Data Science Pipeline for Analyzing Police Service","authors":"Anna Haensch, Daanika Gordon, Karin Knudson, Justina Cheng","doi":"10.1080/00031305.2024.2374275","DOIUrl":"https://doi.org/10.1080/00031305.2024.2374275","url":null,"abstract":"Despite the fact that most police departments in the U.S. serve jurisdictions with fewer than 10,000 residents, policing practices in small towns are understudied. This is due in part to data limit...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"64 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-17DOI: 10.1080/00031305.2024.2368794
Mohammad Ehsanul Karim
“The use of health care claims datasets often encounters criticism due to the pervasive issues of omitted variables and inaccuracies or mis-measurements in available confounders. Ultimately, the tr...
{"title":"High-dimensional propensity score and its machine learning extensions in residual confounding control","authors":"Mohammad Ehsanul Karim","doi":"10.1080/00031305.2024.2368794","DOIUrl":"https://doi.org/10.1080/00031305.2024.2368794","url":null,"abstract":"“The use of health care claims datasets often encounters criticism due to the pervasive issues of omitted variables and inaccuracies or mis-measurements in available confounders. Ultimately, the tr...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"51 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141436061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-17DOI: 10.1080/00031305.2024.2368799
Jia Liang, Shuo Chen, Peter Kochunov, L. Elliot Hong, Chixiang Chen
A full parametric and linear specification may be insufficient to capture complicated patterns in studies exploring complex features, such as those investigating age-related changes in brain functi...
{"title":"Integrative data analysis where partial covariates have complex non-linear effects by using summary information from an external data","authors":"Jia Liang, Shuo Chen, Peter Kochunov, L. Elliot Hong, Chixiang Chen","doi":"10.1080/00031305.2024.2368799","DOIUrl":"https://doi.org/10.1080/00031305.2024.2368799","url":null,"abstract":"A full parametric and linear specification may be insufficient to capture complicated patterns in studies exploring complex features, such as those investigating age-related changes in brain functi...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"16 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141425530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.1080/00031305.2024.2365673
Nicholas Clark, Christopher Morrell, Mike Powell
In recent years, there has been an explosion in the growth of undergraduate statistics and data science programs across the US. Simultaneously, there has been clear guidance written on curriculum d...
{"title":"Assessment and Continuous Improvement of an Undergraduate Data Science Program","authors":"Nicholas Clark, Christopher Morrell, Mike Powell","doi":"10.1080/00031305.2024.2365673","DOIUrl":"https://doi.org/10.1080/00031305.2024.2365673","url":null,"abstract":"In recent years, there has been an explosion in the growth of undergraduate statistics and data science programs across the US. Simultaneously, there has been clear guidance written on curriculum d...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"5 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-28DOI: 10.1080/00031305.2024.2356109
Jonathan J. Chipman, Robert A. Greevy Jr., Lindsay Mayberry, Jeffrey D. Blume
The Second Generation P-Value (SGPV) measures the overlap between an estimated interval and a composite hypothesis of parameter values. We develop a sequential monitoring scheme of the SGPV (SeqSGP...
第二代 P 值（SGPV）测量估计区间与参数值复合假设之间的重叠程度。我们开发了一种 SGPV 的顺序监测方案（SeqSGP...
{"title":"Sequential monitoring using the Second Generation P-Value with Type I error controlled by monitoring frequency","authors":"Jonathan J. Chipman, Robert A. Greevy Jr., Lindsay Mayberry, Jeffrey D. Blume","doi":"10.1080/00031305.2024.2356109","DOIUrl":"https://doi.org/10.1080/00031305.2024.2356109","url":null,"abstract":"The Second Generation P-Value (SGPV) measures the overlap between an estimated interval and a composite hypothesis of parameter values. We develop a sequential monitoring scheme of the SGPV (SeqSGP...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"61 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141159781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-09DOI: 10.1080/00031305.2024.2352010
Eric Yanchenko, Howard D. Bondell, Brian J. Reich
In Bayesian analysis, the selection of a prior distribution is typically done by considering each parameter in the model. While this can be convenient, in many scenarios it may be desirable to plac...
{"title":"The R2D2 prior for generalized linear mixed models","authors":"Eric Yanchenko, Howard D. Bondell, Brian J. Reich","doi":"10.1080/00031305.2024.2352010","DOIUrl":"https://doi.org/10.1080/00031305.2024.2352010","url":null,"abstract":"In Bayesian analysis, the selection of a prior distribution is typically done by considering each parameter in the model. While this can be convenient, in many scenarios it may be desirable to plac...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"37 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140914946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-07DOI: 10.1080/00031305.2024.2351999
Christopher M. Rump
The best time to play the lottery is when the jackpot has rolled over several times and grown large, but not so large that you must share the prize if you win. We examine maximizing the expected va...
{"title":"The Best Time to Play the Lottery","authors":"Christopher M. Rump","doi":"10.1080/00031305.2024.2351999","DOIUrl":"https://doi.org/10.1080/00031305.2024.2351999","url":null,"abstract":"The best time to play the lottery is when the jackpot has rolled over several times and grown large, but not so large that you must share the prize if you win. We examine maximizing the expected va...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"14 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140907424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-02DOI: 10.1080/00031305.2024.2350449
Niels G. Waller
This article describes a simple and fast algorithm for generating correlation matrices ( R) with a known average correlation. The algorithm should be useful for researchers desiring plausible R m...
本文介绍了一种简单快速的算法，用于生成具有已知平均相关性的相关矩阵 ( R)。该算法对于希望获得可信的 R 矩阵的研究人员来说非常有用。
{"title":"A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient","authors":"Niels G. Waller","doi":"10.1080/00031305.2024.2350449","DOIUrl":"https://doi.org/10.1080/00031305.2024.2350449","url":null,"abstract":"This article describes a simple and fast algorithm for generating correlation matrices ( R) with a known average correlation. The algorithm should be useful for researchers desiring plausible R m...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"2014 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140914888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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